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  • CLASSIFYING TURKISH DISTRICT DATA WITH K-MEANS AND SOM ALGORITHMS

CLASSIFYING TURKISH DISTRICT DATA WITH K-MEANS AND SOM ALGORITHMS

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This book is the master degree thesis of Ece Aksoy, on "An Attempt to Classify Turkish District Data: K- Means and Self-Organizing Map (SOM) Algorithms", at METU in Geodetic and Geographical Information Technologies (GIS) Department in 2004. In this book, it is tried to classify Turkish district data, which composed of 923 units, by using these two common techniques in GIS environment. It is aimed to reach a clustering by means of these techniques that can be used for several purposes such as regional politics, constructing statistical integrity or analyzing distribution of funds, and putting forward the facilitative usage of GIS in regional and statistical studies. It further offers detailed explanations on classification terminology, spatial clustering concept and GIS usage in clustering analysis.
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